most citedMethodological Issues in Building, Training, and Testing Artificial Neural Networks

149 citations · 246 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2011

A Polynomial Approximation for Arbitrary Functions

Michael A. Cohen, Can Ozan Tan

We describe an expansion of Legendre polynomials, analogous to the Taylor expansion, to approximate arbitrary functions. We show that the polynomial coefficients in Legendre expans…

q-bio.QM2005★ 34 cited

Statistical Predictive Models in Ecology: Comparison of Performances and Assessment of Applicability

Can Ozan Tan, Uygar Ozesmi, Meryem Beklioglu +2

Ecological systems are governed by complex interactions which are mainly nonlinear. In order to capture this complexity and nonlinearity, statistical models recently gained popular…

q-bio.PE2005★ 149 cited

Methodological Issues in Building, Training, and Testing Artificial Neural Networks

Stacy L. Ozesmi, Uygar Ozesmi, Can Ozan Tan

We review the use of artificial neural networks, particularly the feedforward multilayer perceptron with back-propagation for training (MLP), in ecological modelling. Overtraining…

q-bio.PE2005★ 22 cited

Generalizability of Artificial Neural Network Models in Ecological Applications: Predicting Nest Occurrence and Breeding Success of the Red-winged Blackbird Agelaius phoeniceus

Uygar Ozesmi, Can Ozan Tan, Stacy L. Ozesmi +1

Separate artificial neural network (ANN) models were developed from data in two geographical regions and years apart for a marsh-nesting bird, the red-winged blackbird Agelaius pho…

q-bio.NC2005★ 41 cited

A Cognitive Model of an Epistemic Community: Mapping the Dynamics of Shallow Lake Ecosystems

Can O. Tan, Uygar Ozesmi

We used fuzzy cognitive mapping (FCM) to develop a generic shallow lake ecosystem model by augmenting the individual cognitive maps drawn by 8 scientists working in the area of sha…